feat: add personal usage stats

static/src/components/personalization/PersonalizationDrawer.vue

@@ -331,6 +331,55 @@
                       </div>
                     </div>
                   </section>
+                  <section v-else-if="activeTab === 'usage'" key="usage" class="personal-page usage-summary-page">
+                    <div class="usage-summary-card">
+                      <div class="usage-summary-header">
+                        <div>
+                          <p class="usage-summary-eyebrow">对话用量</p>
+                          <h3>用量统计</h3>
+                          <p class="usage-summary-desc">累计统计所有对话的输入/输出 Token、对话数量、用户消息与工具调用。</p>
+                          <p class="usage-summary-note">宿主机模式同样统计 data/conversations 内的记录。</p>
+                        </div>
+                      </div>
+                      <div class="usage-summary-grid usage-summary-grid--tokens">
+                        <div class="usage-summary-item">
+                          <div class="label">累计输入</div>
+                          <div class="value value--success">{{ formatTokenCount(usageSummary.total_input_tokens) }}</div>
+                        </div>
+                        <div class="usage-summary-item">
+                          <div class="label">累计输出</div>
+                          <div class="value value--warning">{{ formatTokenCount(usageSummary.total_output_tokens) }}</div>
+                        </div>
+                      </div>
+                      <div class="usage-summary-grid usage-summary-grid--counts">
+                        <div class="usage-summary-item">
+                          <div class="label">总对话数</div>
+                          <div class="value">{{ formatTokenCount(usageSummary.total_conversations) }}</div>
+                        </div>
+                        <div class="usage-summary-item">
+                          <div class="label">用户消息数</div>
+                          <div class="value">{{ formatTokenCount(usageSummary.total_user_messages) }}</div>
+                        </div>
+                        <div class="usage-summary-item">
+                          <div class="label">工具调用次数</div>
+                          <div class="value">{{ formatTokenCount(usageSummary.total_tools) }}</div>
+                        </div>
+                      </div>
+                      <div class="usage-summary-meta">
+                        <span v-if="usageError" class="usage-summary-error">{{ usageError }}</span>
+                        <span v-else-if="usageLoading">正在同步最新统计...</span>
+                        <span v-else>最近更新：{{ usageUpdatedText }}</span>
+                        <button
+                          type="button"
+                          class="usage-summary-refresh"
+                          @click="fetchUsageSummary"
+                          :disabled="usageLoading"
+                        >
+                          {{ usageLoading ? '刷新中...' : '刷新数据' }}
+                        </button>
+                      </div>
+                    </div>
+                  </section>
                   <section v-else-if="activeTab === 'behavior'" key="behavior" class="personal-page behavior-page">
                     <div class="behavior-section">
                       <div class="behavior-field">
@@ -672,12 +721,13 @@
 </template>
 
 <script setup lang="ts">
-import { ref, computed } from 'vue';
+import { ref, computed, watch } from 'vue';
 import { storeToRefs } from 'pinia';
 import { usePersonalizationStore } from '@/stores/personalization';
 import { useResourceStore } from '@/stores/resource';
 import { useUiStore } from '@/stores/ui';
 import { usePolicyStore } from '@/stores/policy';
+import { formatTokenCount } from '@/utils/formatters';
 import { useTheme } from '@/utils/theme';
 import type { ThemeKey } from '@/utils/theme';
 
@@ -707,6 +757,7 @@ const {
 const baseTabs = [
   { id: 'preferences', label: '个性化设置', description: '称呼、语气与注意事项' },
   { id: 'model', label: '模型偏好', description: '默认模型选择' },
+  { id: 'usage', label: '用量统计', description: '对话累计数据' },
   { id: 'behavior', label: '模型行为', description: '工具提示与界面表现' },
   { id: 'skills', label: 'Skills', description: '可用技能开关' },
   { id: 'image', label: '图片压缩', description: '发送图片的尺寸策略' },
@@ -714,7 +765,16 @@ const baseTabs = [
   { id: 'experiments', label: '实验功能', description: 'Liquid Glass' }
 ] as const;
 
-type PersonalTab = 'preferences' | 'model' | 'behavior' | 'skills' | 'image' | 'theme' | 'experiments' | 'admin-monitor';
+type PersonalTab =
+  | 'preferences'
+  | 'model'
+  | 'usage'
+  | 'behavior'
+  | 'skills'
+  | 'image'
+  | 'theme'
+  | 'experiments'
+  | 'admin-monitor';
 
 const isAdmin = computed(() => (resourceStore.usageQuota.role || '').toLowerCase() === 'admin');
 
@@ -767,6 +827,71 @@ const imageCompressionOptions = [
   { id: '540p', label: '540p', desc: '最长边不超过 540p 等比缩放' }
 ] as const;
 
+const usageSummary = ref({
+  total_input_tokens: 0,
+  total_output_tokens: 0,
+  total_conversations: 0,
+  total_user_messages: 0,
+  total_tools: 0
+});
+const usageLoading = ref(false);
+const usageError = ref('');
+const usageUpdatedAt = ref<string | null>(null);
+
+const usageUpdatedText = computed(() => {
+  if (!usageUpdatedAt.value) {
+    return '尚未刷新';
+  }
+  const date = new Date(usageUpdatedAt.value);
+  if (Number.isNaN(date.getTime())) {
+    return '时间未知';
+  }
+  return date.toLocaleString('zh-CN', {
+    month: '2-digit',
+    day: '2-digit',
+    hour: '2-digit',
+    minute: '2-digit'
+  });
+});
+
+const fetchUsageSummary = async () => {
+  if (usageLoading.value) {
+    return;
+  }
+  usageLoading.value = true;
+  usageError.value = '';
+  try {
+    const response = await fetch('/api/conversations/statistics');
+    const payload = await response.json();
+    if (!response.ok || !payload.success) {
+      throw new Error(payload.error || payload.message || '获取用量统计失败');
+    }
+    const data = payload.data || {};
+    const tokenStats = data.token_statistics || {};
+    usageSummary.value = {
+      total_input_tokens: Number(tokenStats.total_input_tokens || 0),
+      total_output_tokens: Number(tokenStats.total_output_tokens || 0),
+      total_conversations: Number(data.total_conversations || 0),
+      total_user_messages: Number(data.total_user_messages || 0),
+      total_tools: Number(data.total_tools || 0)
+    };
+    usageUpdatedAt.value = new Date().toISOString();
+  } catch (error: any) {
+    usageError.value = error?.message || '获取用量统计失败';
+  } finally {
+    usageLoading.value = false;
+  }
+};
+
+watch(
+  () => [activeTab.value, visible.value],
+  ([tab, isVisible]) => {
+    if (isVisible && tab === 'usage') {
+      fetchUsageSummary();
+    }
+  }
+);
+
 const setActiveTab = (tab: PersonalTab) => {
   activeTab.value = tab;
 };
@@ -912,9 +1037,6 @@ const openApiAdmin = () => {
 };
 
 // ===== 主题切换 =====
-import { useTheme } from '@/utils/theme';
-import type { ThemeKey } from '@/utils/theme';
-
 const { setTheme, loadTheme } = useTheme();
 const themeOptions: Array<{ id: ThemeKey; label: string; desc: string; swatches: string[] }> = [
   {
@@ -946,6 +1068,146 @@ const applyThemeOption = (theme: ThemeKey) => {
 </script>
 
 <style scoped>
+.usage-summary-page {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+  padding: 12px 0 24px;
+  height: 100%;
+}
+
+.usage-summary-card {
+  width: 100%;
+  max-width: 720px;
+  padding: 0;
+  min-height: 320px;
+  display: flex;
+  flex-direction: column;
+  gap: 18px;
+  flex: 1 1 auto;
+  min-height: 0;
+}
+
+.usage-summary-header {
+  display: flex;
+  align-items: flex-start;
+  justify-content: space-between;
+  gap: 16px;
+  flex-wrap: wrap;
+}
+
+.usage-summary-header h3 {
+  margin: 4px 0 6px;
+  font-size: 24px;
+}
+
+.usage-summary-eyebrow {
+  margin: 0;
+  font-size: 12px;
+  color: var(--claude-accent-strong);
+  letter-spacing: 0.18em;
+  text-transform: uppercase;
+}
+
+.usage-summary-desc {
+  margin: 0;
+  color: var(--claude-text-secondary);
+}
+
+.usage-summary-note {
+  margin: 6px 0 0;
+  font-size: 12px;
+  color: var(--claude-text-tertiary);
+}
+
+.usage-summary-refresh {
+  border: 1px solid var(--claude-border);
+  border-radius: 12px;
+  padding: 6px 14px;
+  background: var(--claude-panel);
+  color: var(--claude-text);
+  font-size: 12px;
+  font-weight: 600;
+  cursor: pointer;
+  transition: transform 0.18s ease, box-shadow 0.18s ease;
+  box-shadow: 0 6px 14px rgba(61, 57, 41, 0.12);
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+}
+
+.usage-summary-refresh:disabled {
+  opacity: 0.7;
+  cursor: not-allowed;
+  box-shadow: none;
+}
+
+.usage-summary-refresh:not(:disabled):hover {
+  transform: translateY(-1px);
+  box-shadow: 0 14px 28px rgba(61, 57, 41, 0.22);
+}
+
+.usage-summary-grid {
+  display: grid;
+  gap: 14px;
+}
+
+.usage-summary-grid--tokens {
+  grid-template-columns: repeat(2, minmax(0, 1fr));
+}
+
+.usage-summary-grid--counts {
+  grid-template-columns: repeat(3, minmax(0, 1fr));
+}
+
+.usage-summary-item {
+  padding: 14px 16px;
+  border-radius: 16px;
+  border: 1px solid var(--claude-border);
+  background: transparent;
+  display: flex;
+  flex-direction: column;
+  gap: 6px;
+}
+
+.usage-summary-item .label {
+  font-size: 12px;
+  color: var(--claude-text-secondary);
+}
+
+.usage-summary-item .value {
+  font-size: 22px;
+  font-weight: 600;
+  color: var(--claude-text);
+}
+
+.usage-summary-item .value--success {
+  color: var(--claude-success);
+}
+
+.usage-summary-item .value--warning {
+  color: var(--claude-warning);
+}
+
+.usage-summary-item .value--accent {
+  color: var(--claude-text);
+}
+
+.usage-summary-meta {
+  font-size: 12px;
+  color: var(--claude-text-secondary);
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  gap: 12px;
+  flex-wrap: wrap;
+  margin-top: auto;
+}
+
+.usage-summary-error {
+  color: var(--claude-warning);
+}
+
 .admin-monitor-page {
   display: flex;
   flex-direction: column;
@@ -1083,6 +1345,16 @@ const applyThemeOption = (theme: ThemeKey) => {
 }
 
 @media (max-width: 640px) {
+  .usage-summary-refresh {
+    width: 100%;
+    justify-content: center;
+  }
+
+  .usage-summary-grid--tokens,
+  .usage-summary-grid--counts {
+    grid-template-columns: 1fr;
+  }
+
   .admin-monitor-panel {
     padding: 24px;
   }

static/src/styles/components/overlays/_overlays.scss

@@ -545,8 +545,8 @@
     }
 
     .behavior-section {
-        padding: 16px;
+        padding: 0;
-        border-radius: 12px;
+        border-radius: 0;
         overflow: visible;
     }
 
@@ -802,10 +802,10 @@
     display: flex;
     flex-direction: column;
     gap: 24px;
-    background: var(--theme-surface-muted);
+    background: transparent;
-    border-radius: 20px;
+    border-radius: 0;
-    padding: 24px;
+    padding: 0;
-    border: 1px solid var(--theme-control-border);
+    border: none;
 }
 
 .behavior-field {
@@ -1291,11 +1291,11 @@
     display: flex;
     flex-direction: column;
     gap: 18px;
-    background: var(--theme-surface-soft);
+    background: transparent;
-    border-radius: 20px;
+    border-radius: 0;
-    border: 1px solid var(--theme-control-border);
+    border: none;
-    padding: 22px 24px 26px;
+    padding: 0;
-    box-shadow: var(--theme-shadow-mid);
+    box-shadow: none;
 }
 
 .theme-section {
@@ -3318,4 +3318,3 @@ body[data-theme='dark'] {
         background: #1a1a1a;
     }
 }
-

utils/conversation_manager.py

@@ -1011,17 +1011,24 @@ class ConversationManager:
             total_input_tokens = 0
             total_output_tokens = 0
             token_stats_count = 0
+            total_user_messages = 0
 
             for conv_id in index.keys():
-                token_stats = self.get_token_statistics(conv_id)
+                conversation_data = self.load_conversation(conv_id)
-                if token_stats:
+                if not conversation_data:
+                    continue
+                validated = self._validate_token_statistics(conversation_data)
+                token_stats = validated.get("token_statistics", {}) or {}
                 total_input_tokens += token_stats.get("total_input_tokens", 0)
                 total_output_tokens += token_stats.get("total_output_tokens", 0)
                 token_stats_count += 1
+                messages = conversation_data.get("messages") or []
+                total_user_messages += sum(1 for msg in messages if msg.get("role") == "user")
             
             return {
                 "total_conversations": total_conversations,
                 "total_messages": total_messages,
+                "total_user_messages": total_user_messages,
                 "total_tools": total_tools,
                 "status_distribution": status_count,
                 "thinking_mode_distribution": thinking_mode_count,